tweets

This is data scraped from swyx's timeline! See blog post

1 row where quoted_status = 977291318324948992 and retweet_count = 0

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id ▼ user created_at full_text retweeted_status quoted_status place source truncated display_text_range in_reply_to_status_id in_reply_to_user_id in_reply_to_screen_name geo coordinates contributors is_quote_status retweet_count favorite_count favorited retweeted possibly_sensitive lang scopes
1436017409538854913 swyx 33521530 2021-09-09T17:23:25+00:00 @_phosphoricons @mhevery @QwikDev @InfobipShift here is React saying the opposite: https://twitter.com/acdlite/status/977291318324948992?s=21 the real problem is taking for granted that “X is slow” everywhere in all contexts. performance is relative and conditional. if you arent clear on your assumptions you won’t know when your conclusions are invalid.   977291318324948992 977291318324948992   Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [48, 321] 1436016082347872257 1305300579804119046 _phosphoricons       1 0 3 0 0 0 en  

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CREATE TABLE [tweets] (
   [id] INTEGER PRIMARY KEY,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [full_text] TEXT,
   [retweeted_status] INTEGER,
   [quoted_status] INTEGER,
   [place] TEXT REFERENCES [places]([id]),
   [source] TEXT REFERENCES [sources]([id]), [truncated] INTEGER, [display_text_range] TEXT, [in_reply_to_status_id] INTEGER, [in_reply_to_user_id] INTEGER, [in_reply_to_screen_name] TEXT, [geo] TEXT, [coordinates] TEXT, [contributors] TEXT, [is_quote_status] INTEGER, [retweet_count] INTEGER, [favorite_count] INTEGER, [favorited] INTEGER, [retweeted] INTEGER, [possibly_sensitive] INTEGER, [lang] TEXT, [scopes] TEXT,
   FOREIGN KEY([retweeted_status]) REFERENCES [tweets]([id]),
   FOREIGN KEY([quoted_status]) REFERENCES [tweets]([id])
);
CREATE INDEX [idx_tweets_source]
    ON [tweets] ([source]);